| { | |
| "policy_class": { | |
| ":type:": "<class 'abc.ABCMeta'>", | |
| ":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", | |
| "__module__": "stable_baselines3.common.policies", | |
| "__doc__": "\n Policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\n\n :param observation_space: Observation space\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param ortho_init: Whether to use or not orthogonal initialization\n :param use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\n :param features_extractor_class: Features extractor to use.\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param share_features_extractor: If True, the features extractor is shared between the policy and value networks.\n :param normalize_images: Whether to normalize images or not,\n dividing by 255.0 (True by default)\n :param optimizer_class: The optimizer to use,\n ``th.optim.Adam`` by default\n :param optimizer_kwargs: Additional keyword arguments,\n excluding the learning rate, to pass to the optimizer\n ", | |
| "__init__": "<function ActorCriticPolicy.__init__ at 0x7f10dfe8c0d0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f10dfe8c160>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f10dfe8c1f0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f10dfe8c280>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f10dfe8c310>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f10dfe8c3a0>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f10dfe8c430>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f10dfe8c4c0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f10dfe8c550>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f10dfe8c5e0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f10dfe8c670>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f10dfe8c700>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7f10dfe8f180>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "observation_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "_shape": [ | |
| 8 | |
| ], | |
| "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]", | |
| "high": "[inf inf inf inf inf inf inf inf]", | |
| "bounded_below": "[False False False False False False False False]", | |
| "bounded_above": "[False False False False False False False False]", | |
| "_np_random": null | |
| }, | |
| "action_space": { | |
| ":type:": "<class 'gym.spaces.discrete.Discrete'>", | |
| ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", | |
| "n": 4, | |
| "_shape": [], | |
| "dtype": "int64", | |
| "_np_random": null | |
| }, | |
| "n_envs": 32, | |
| "num_timesteps": 368000, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1652272866.0520153, | |
| "learning_rate": 0.0, | |
| "tensorboard_log": "logs", | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_episode_starts": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVkwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksghZSMAUOUdJRSlC4=" | |
| }, | |
| "_last_original_obs": null, | |
| "_episode_num": 0, | |
| "use_sde": false, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": 0.67232, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 19344, | |
| "n_steps": 2048, | |
| "gamma": 0.999, | |
| "gae_lambda": 0.98, | |
| "ent_coef": 0.01, | |
| "vf_coef": 0.5, | |
| "max_grad_norm": 0.5, | |
| "batch_size": 256, | |
| "n_epochs": 8, | |
| "clip_range": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "clip_range_vf": null, | |
| "normalize_advantage": true, | |
| "target_kl": null | |
| } |